AI Gateway Security Engineer, Lead

The Opportunity

Designs, deploys, integrates, and maintains enterprise AI gateway capabilities across complex, multi-cloud and federal environments. Leads implementation of AI security controls, including guardrails, policy enforcement, secure API integrations, and machine-to-machine authentication supporting LLM inference and agent-based architectures. Works without considerable direction and mentors and may supervise team members. Develops scalable, highly available security architectures and automates policy-as-code, remediation workflows, and governance controls using Kubernetes, Terraform, CI/CD, APIs, scripting, and OPA.

Leads continuous improvement of security workflows, playbooks, escalation paths, service-level expectations, and governance processes supporting Wiz and cloud security tools. Partners with cloud engineering, security operations, compliance, Dev Sec Ops , application, and system-owner teams to operationalize findings, drive remediation to closure, and mentor technical team members.

Join us. The world can't wait.

• 10+ years of experience in cloud security, cybersecurity operations, security engineering, or vulnerability management
• Experience deploying, configuring, and administering AI security measures such as AI gateways and guardrails in large, complex, and multi-cloud environments
• Experience with API integrations and machine to machine authentication and authorization such as API keys and OAuth
• Experience with AI application and agent architectures or protocols, including LLM inference, MCP, and A2A
• Experience supporting security tooling within federal environments
• Experience building high availability architectures to support enterprise scale deployments
• Ability to implement, operationalize, and maintain enterprise cloud security policies and governance controls
• Ability to automate tooling and workflows via APIs, Terraform, Kubernetes, or scripting
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree

• Experience with Kong AI Gateway
• Experience deploying and managing kubernetes infrastructure
• Experience using CI/CD to manage and deploy policy as code
• Experience with Open Policy Agent (OPA)
• Experience coding custom plugins for AI Gateways
• Kong Certifications such as Kong Gateway Certified Associate Certification
• Cloud security Certification such as CISSP, CCSP, Security+, AWS Security Specialty, or Microsoft Azure Security Engineer

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as…